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Bahman Shadmehr Independent AI Systems & Automation Engineer

Service

Automation Opportunity Audit

Find the highest-value process to automate before committing to a build.

Best fit

Teams with multiple candidates, unclear economics, or a workflow that crosses several departments.

Buyer outcome

A decision-ready opportunity matrix, two process maps, a recommended architecture, ROI range, and sequenced implementation backlog.

Deliverables

What leaves the engagement.

Concrete artifacts, a clear operating boundary and enough documentation for the team to own the result.

01

Stakeholder workflow interview

02

Current-state time and volume baseline

03

Automation Opportunity Matrix

04

Before and proposed-after process maps

05

API and data-readiness review

06

AI suitability and risk assessment

07

Architecture recommendation

08

ROI range and implementation backlog

How the work moves

Four deliberate stages.

01

Inventory

List recurring workflows, owners, systems, triggers, handoffs, volume and known failure cost.

02

Measure

Separate observed numbers from assumptions: executions, minutes, loaded cost, delays and exception rate.

03

Classify

Mark each step deterministic, AI-assisted, human-owned or removable.

04

Prioritise

Score coverage, complexity, error risk, integration difficulty, cost and likely payback.

Engagement boundaries

Clarity before commitment.

  • The audit is vendor-neutral.
  • The buyer owns the deliverables and can take them to another implementer.
  • A build is recommended only when expected value and operational readiness justify it.

“Use deterministic automation wherever possible. Insert AI only where language, extraction or judgment makes it earn its cost.”

Bahman’s engineering principle

Next step

Bring one process, not an AI shopping list.

Describe what starts it, how often it runs, which systems it touches and where it currently breaks.

Let's build something real